High resolution laser Thomson scattering system with automatic data analysis software platform for diagnosis of the low-temperature plasmas

2021 ◽  
Vol 92 (12) ◽  
pp. 123508
Author(s):  
Yong Wang ◽  
Jielin Shi ◽  
Yu Li ◽  
Yarui Zhao ◽  
Cong Li ◽  
...  
2019 ◽  
Vol 26 (1) ◽  
pp. 244-252 ◽  
Author(s):  
Shibom Basu ◽  
Jakub W. Kaminski ◽  
Ezequiel Panepucci ◽  
Chia-Ying Huang ◽  
Rangana Warshamanage ◽  
...  

At the Swiss Light Source macromolecular crystallography (MX) beamlines the collection of serial synchrotron crystallography (SSX) diffraction data is facilitated by the recent DA+ data acquisition and analysis software developments. The SSX suite allows easy, efficient and high-throughput measurements on a large number of crystals. The fast continuous diffraction-based two-dimensional grid scan method allows initial location of microcrystals. The CY+ GUI utility enables efficient assessment of a grid scan's analysis output and subsequent collection of multiple wedges of data (so-called minisets) from automatically selected positions in a serial and automated way. The automated data processing (adp) routines adapted to the SSX data collection mode provide near real time analysis for data in both CBF and HDF5 formats. The automatic data merging (adm) is the latest extension of the DA+ data analysis software routines. It utilizes the sxdm (SSX data merging) package, which provides automatic online scaling and merging of minisets and allows identification of a minisets subset resulting in the best quality of the final merged data. The results of both adp and adm are sent to the MX MongoDB database and displayed in the web-based tracker, which provides the user with on-the-fly feedback about the experiment.


2016 ◽  
Vol 23 (2) ◽  
pp. 109-123 ◽  
Author(s):  
Tippawan Liabsuetrakul ◽  
Tagoon Prappre ◽  
Pakamas Pairot ◽  
Nurlisa Oumudee ◽  
Monir Islam

Surveillance systems are yet to be integrated with health information systems for improving the health of pregnant mothers and their newborns, particularly in developing countries. This study aimed to develop a web-based epidemiological surveillance system for maternal and newborn health with integration of action-oriented responses and automatic data analysis with results presentations and to assess the system acceptance by nurses and doctors involved in various hospitals in southern Thailand. Freeware software and scripting languages were used. The system can be run on different platforms, and it is accessible via various electronic devices. Automatic data analysis with results presentations in the forms of graphs, tables and maps was part of the system. A multi-level security system was incorporated into the program. Most doctors and nurses involved in the study felt the system was easy to use and useful. This system can be integrated into country routine reporting system for monitoring maternal and newborn health and survival.


2010 ◽  
Vol 81 (10) ◽  
pp. 10E131 ◽  
Author(s):  
E. Giovannozzi ◽  
M. Beurskens ◽  
M. Kempenaars ◽  
R. Pasqualotto ◽  
A. Rydzy ◽  
...  

1997 ◽  
Vol 68 (9) ◽  
pp. 3380-3392 ◽  
Author(s):  
C. J. Barth ◽  
M. N. A. Beurskens ◽  
C. C. Chu ◽  
A. J. H. Donné ◽  
N. J. Lopes Cardozo ◽  
...  

1998 ◽  
Vol 54 (1) ◽  
pp. 63
Author(s):  
Takashi Kawahara ◽  
Kenzou Mitou ◽  
Harumi Okabe ◽  
Toshiyuki Kotani

2009 ◽  
pp. 1-17
Author(s):  
Martin Spott ◽  
Detlef Nauck

This chapter introduces a new way of using soft constraints for selecting data analysis methods that match certain user requirements. It presents a software platform for automatic data analysis that uses a fuzzy knowledge base for automatically selecting and executing data analysis methods. In order to support business users in running data analysis projects the analytical process must be automated as much as possible. The authors argue that previous approaches based on the formalisation of analytical processes were less successful because selecting and running analytical methods is very much an experience-led heuristic process. The authors show that a system based on a fuzzy knowledge base that stores heuristic expert knowledge about data analysis can successfully lead to automatic intelligent data analysis.


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